Artificial Intelligence in the 21st Century / / Stephen Lucci, Sarhan M. Musa, Danny Kopec.
This third edition provides a comprehensive, colorful, up-to-date, and accessible presentation of AI without sacrificing theoretical foundations. It includes numerous examples, applications, full color images, and human interest boxes to enhance student interest. New chapters on deep learning, AI se...
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Place / Publishing House: | Dulles, VA : : Mercury Learning and Information, , [2022] ©2022 |
Year of Publication: | 2022 |
Language: | English |
Online Access: | |
Physical Description: | 1 online resource (850 p.) :; 300+ figures & color images |
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Other title: | Frontmatter -- Contents -- Preface -- Acknowledgments ( Three Editions) -- Credits for the 3rd Edition -- Part I: Introduction -- PART II: FUNDAMENTALS -- PART III: KNOWLEDGE-BASED SYSTEMS -- PART IV: ADVANCED TOPICS -- PART V: THE PRESENT AND FUTURE -- PART VI: SECURITY AND PROGRAMMING (OPTIONAL) -- Appendix A. Example with CLIPS: The Expert System Shell -- Appendix B. Implementation of the Viterbi Algorithm for Hidden Markov Chains -- Appendix C. The Amazing Walter Shawn Browne -- Appendix D. Applications and Data -- Appendix E. Solutions to Selected Odd Exercises -- Index |
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Summary: | This third edition provides a comprehensive, colorful, up-to-date, and accessible presentation of AI without sacrificing theoretical foundations. It includes numerous examples, applications, full color images, and human interest boxes to enhance student interest. New chapters on deep learning, AI security, and AI programming are included. Advanced topics cover neural nets, genetic algorithms, natural language processing, planning, and complex board games. A companion disc is provided with resources, applications, and figures from the book. Numerous instructors’ resources are available upon adoption. Features:• Includes new chapters on deep learning, AI security, and AI programming • Provides a comprehensive, colorful, up to date, and accessible presentation of AI without sacrificing theoretical foundations • Uses numerous examples, applications, full color images, and human interest boxes to enhance student interest • Introduces important AI concepts e.g., robotics, use in video games, neural nets, machine learning, and more thorough practical applications • Features over 300 figures and color images with worked problems detailing AI methods and solutions to selected exercises • Includes companion files with resources, simulations, and figures from the book • Provides numerous instructors’ resources, including: solutions to exercises, Microsoft PP slides, etc.The companion files are available online by emailing the publisher with proof of purchase at info@merclearning.com. |
Format: | Mode of access: Internet via World Wide Web. |
ISBN: | 9781683922520 |
DOI: | 10.1515/9781683922520 |
Access: | restricted access |
Hierarchical level: | Monograph |
Statement of Responsibility: | Stephen Lucci, Sarhan M. Musa, Danny Kopec. |